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体验新版 GitCode,发现更多精彩内容 >>
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e10b1095
编写于
10月 19, 2016
作者:
T
Travis CI
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doc/_sources/build/docker_install.txt
doc/_sources/build/docker_install.txt
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doc/_sources/build/docker_install.txt
浏览文件 @
e10b1095
...
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@@ -69,7 +69,7 @@ If you want to launch container with GPU support, you need to set some environme
.. code-block:: bash
export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}"
export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}
')
"
export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddle:gpu-latest
...
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doc/build/docker_install.html
浏览文件 @
e10b1095
...
...
@@ -147,9 +147,9 @@ var _hmt = _hmt || [];
</pre></div>
</div>
<p>
If you want to launch container with GPU support, you need to set some environment variables at the same time:
</p>
<div
class=
"highlight-bash"
><div
class=
"highlight"
><pre><span></span>
export CUDA_SO=
"
$(\ls /usr/lib64/libcuda* | xargs -I{} echo
'
-v {}:{}
'
) $(\ls /usr/lib64/libnvidia* | xargs -I{} echo
'
-v {}:{}
"
export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo
'
--device {}:{}
'
)
docker run
${CUDA_SO} ${DEVICES}
-it paddledev/paddle:gpu-latest
<div
class=
"highlight-bash"
><div
class=
"highlight"
><pre><span></span>
<span
class=
"nb"
>
export
</span>
<span
class=
"nv"
>
CUDA_SO
</span><span
class=
"o"
>
=
</span><span
class=
"s2"
>
"
</span><span
class=
"k"
>
$(
</span><span
class=
"se"
>
\l
</span>
s /usr/lib64/libcuda*
<span
class=
"p"
>
|
</span>
xargs -I
<span
class=
"o"
>
{}
</span>
<span
class=
"nb"
>
echo
</span>
<span
class=
"s1"
>
'
-v {}:{}
'
</span><span
class=
"k"
>
)
</span><span
class=
"s2"
>
</span><span
class=
"k"
>
$(
</span><span
class=
"se"
>
\l
</span>
s /usr/lib64/libnvidia*
<span
class=
"p"
>
|
</span>
xargs -I
<span
class=
"o"
>
{}
</span>
<span
class=
"nb"
>
echo
</span>
<span
class=
"s1"
>
'
-v {}:{}
'
</span><span
class=
"k"
>
)
</span><span
class=
"s2"
>
"
</span>
<span
class=
"nb"
>
export
</span>
<span
class=
"nv"
>
DEVICES
</span><span
class=
"o"
>
=
</span><span
class=
"k"
>
$(
</span><span
class=
"se"
>
\l
</span>
s /dev/nvidia*
<span
class=
"p"
>
|
</span>
xargs -I
<span
class=
"o"
>
{}
</span>
<span
class=
"nb"
>
echo
</span>
<span
class=
"s1"
>
'
--device {}:{}
'
</span><span
class=
"k"
>
)
</span>
docker run
<span
class=
"si"
>
${
</span><span
class=
"nv"
>
CUDA_SO
</span><span
class=
"si"
>
}
</span>
<span
class=
"si"
>
${
</span><span
class=
"nv"
>
DEVICES
</span><span
class=
"si"
>
}
</span>
-it paddledev/paddle:gpu-latest
</pre></div>
</div>
</div>
...
...
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